
Research Article
Challenges and Opportunities in ESG Investments
@INPROCEEDINGS{10.1007/978-3-031-17292-2_14, author={Irena Vodenska and Risto Trajanov and Lou Chitkushev and Dimitar Trajanov}, title={Challenges and Opportunities in ESG Investments}, proceedings={Computer Science and Education in Computer Science. 18th EAI International Conference, CSECS 2022, On-Site and Virtual Event, June 24-27, 2022, Proceedings}, proceedings_a={CSECS}, year={2022}, month={11}, keywords={ESG (Environmental Social And Governance) Investments Machine learning AI-based systems Sustainable development Financial and economic stability}, doi={10.1007/978-3-031-17292-2_14} }
- Irena Vodenska
Risto Trajanov
Lou Chitkushev
Dimitar Trajanov
Year: 2022
Challenges and Opportunities in ESG Investments
CSECS
Springer
DOI: 10.1007/978-3-031-17292-2_14
Abstract
Environmental, Social, and Governance (ESG) criteria gain increasing attention by governments and corporations to assess how advanced countries and companies are with sustainability. The adoption of the ESG in-vestment approach addresses risk management issues and sets goals to-ward more responsible behavior. Sustainable development goals adopted by the United Nations in 2015 include a call for action to end poverty, save the planet, and ensure peace and prosperity for all by 2030. This paper studies advanced machine learning methodologies to assess, analyze, and suggest improvements in corporate behavior to comply with global sustainable development goals.
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